| Sample efficient reinforcement learning through learning from demonstrations in minecraft C Scheller, Y Schraner, M Vogel NeurIPS 2019 Competition and Demonstration Track, 67-76, 2020 | 25 | 2020 |
| SDS-200: A Swiss German speech to standard German text corpus M Plüss, M Hürlimann, M Cuny, A Stöckli, N Kapotis, J Hartmann, ... arXiv preprint arXiv:2205.09501, 2022 | 13 | 2022 |
| Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 10 | 2021 |
| STT4SG-350: A speech corpus for all Swiss German dialect regions M Plüss, J Deriu, Y Schraner, C Paonessa, J Hartmann, L Schmidt, ... arXiv preprint arXiv:2305.18855, 2023 | 7 | 2023 |
| Distilling reinforcement learning tricks for video games A Kanervisto, C Scheller, Y Schraner, V Hautamäki 2021 IEEE Conference on Games (CoG), 01-04, 2021 | 5 | 2021 |
| Summary of tutorials at the Web Conference 2021 R West, S Bhagat, P Groth, M Zitnik, FM Couto, P Lisena, ... Companion Proceedings of the Web Conference 2021, 727-733, 2021 | 3 | 2021 |
| NeurIPS 2019 competition and demonstration track: Revised selected papers HJ Escalante, R Hadsell NeurIPS 2019 Competition and Demonstration Track, 1-12, 2020 | 3 | 2020 |
| Dialect Transfer for Swiss German Speech Translation C Paonessa, Y Schraner, J Deriu, M Hürlimann, M Vogel, M Cieliebak arXiv preprint arXiv:2310.09088, 2023 | 1 | 2023 |
| 2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022 M Plüss, Y Schraner, C Scheller, M Vogel arXiv preprint arXiv:2301.06790, 2023 | 1 | 2023 |
| Teacher-student curriculum learning for reinforcement learning Y Schraner arXiv preprint arXiv:2210.17368, 2022 | 1 | 2022 |
| Towards robust and domain agnostic reinforcement learning competitions WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... arXiv preprint arXiv:2106.03748, 2021 | 1 | 2021 |
| Swiss German Speech to Text system evaluation Y Schraner, C Scheller, M Plüss, M Vogel arXiv preprint arXiv:2207.00412, 2022 | | 2022 |
| Comparison of Unsupervised Learning and Supervised Learning with Noisy Labels for Low-Resource Speech Recognition. Y Schraner, C Scheller, M Plüss, L Neukom, M Vogel INTERSPEECH, 4875-4879, 2022 | | 2022 |
| Towards robust and domain agnostic reinforcement learning competitions W Hebgen Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, ... arXiv e-prints, arXiv: 2106.03748, 2021 | | 2021 |
